Yuen Long vs Pegasus: prediction and stats
Premier LeagueRegular Season - 13Kick-off on March 21, 2020 at 07:30 AM (UTC)Yuen Long Stadium, Yuen Long
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Yuen Long have 1 win, 5 draws and 9 defeats; Pegasus have 3, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 12, 2020 | Pegasus(home) | 4-5 | FA Cup |
| Jan 19, 2020 | Happy Valley(away) | 1-1 | Premier League |
| Dec 21, 2019 | Happy Valley(home) | 0-0 | Premier League |
| Nov 30, 2019 | Rangers(home) | 4-4 | Premier League |
| Nov 25, 2019 | Pegasus(away) | 1-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 21, 2020 | Eastern(away) | 0-5 | FA Cup |
| Mar 12, 2020 | Yuen Long(away) | 5-4 | FA Cup |
| Jan 16, 2020 | Kitchee(home) | 0-3 | Premier League |
| Dec 30, 2019 | Kitchee(away) | 1-2 | Premier League |
| Dec 1, 2019 | Eastern(home) | 0-1 | Premier League |
What does the head-to-head say?
Across the last 6 meetings: 0 Yuen Long wins, 3 draws, 3 Pegasus wins.
| Date | Score | Competition |
|---|---|---|
| Mar 12, 2020 | Yuen Long 4-5 Pegasus | FA Cup |
| Nov 25, 2019 | Pegasus 2-1 Yuen Long | Premier League |
| Apr 7, 2019 | Yuen Long 0-1 Pegasus | Premier League |
| Jan 13, 2019 | Pegasus 1-1 Yuen Long | Premier League |
| May 1, 2018 | Yuen Long 3-3 Pegasus | Premier League |
| Jan 12, 2018 | Pegasus 2-2 Yuen Long | Premier League |
How many goals should we expect?
Yuen Long score 1.7 and concede 2.7 goals per match over their last 15; Pegasus score 1.5 and concede 2.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Yuen Long | 1.7 | 2.7 | 1 | 10/15 | 11/15 |
| Pegasus | 1.5 | 2.4 | 1 | 11/15 | 12/15 |
Over the last 15 matches in all competitions.
A question about Yuen Long vs Pegasus?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy